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SpeakerPresentation Title

Slides

Keyvan Farahani, National Heart, Lung, and Blood Institute, National Institutes of HealthWelcome & Introduction

https://docs.google.com/presentation/d/1vZQDBSNhBAZFPtJwOUE_i6NgOu6IL1ZMmIWZPaCctLA/edit?usp=sharing

David Clunie, PixelMedReport of the MIDI Task Grouphttps://docs.google.com/presentation/d/1pccphYb-y-uHDgicrlXZxseKMxpKNTxE51pC3ChtewA/edit
Fred PriorSetting the StageEmailed file
Michael Rutherford, University of Arkansas for Medical SciencesThe Tools of TCIA: Standardizing Zero-Tolerance De-identificationEmailed file
Stephen Moore, Washington University School of Medicine in St. LouisXNAT Platform: Image De-identificationhttps://docs.google.com/presentation/d/1roHkw48PbtV8n1agwPqtp0bBIingypxF-VNyYjI45Ss/edit?usp=sharing
Chairperson: Willam Parker, University of British ColumbiaInternational Approaches to Image De-Identification
William ParkerMedical Data De-ID
A Canadian Perspective
https://www.icloud.com/keynote/001sv_DNMidQcXVnlQaAvsnmw#NIH_MIDI_Session
Haridimos Kondylakis, Institute of Computer Science, Foundation of Research & Technology (FORTH)Data Infrastructures for AI in Medical Imaging: A report on the experiences of five EU projects
Christian LudwigsLegal framework and best practices for medical image de-identification in the EU
Chairperson: Juergen Klenk, Deloitte ConsultingIndustry Panel on Image De-Identification
Juergen KlenkIntroductory Remarks to the Industry PanelEmailed file
Bob Lou, Google



Medical imaging de-identification on both images and text using AI modelshttps://docs.google.com/presentation/d/12TnPrlyAxNYvWbFv7y3KXZynQBHG2N5QPehQ5ah7RmY/edit#slide=id.g839f2df6fc_2_102
Also emailed file
Lawrence (Tony) O’Sullivan, IBISOptimizing and Automating Radiology
Data De-identification Workflows
https://docsend.com/view/234ee2vubhyg7eyy
Dan Marcus, FlywheelThe Flywheel Platform for Intelligent Image Anonymizationhttps://docs.google.com/presentation/d/1kMd6w4w8Au3o4XjEF49y-aceg-ssTS0HKH-bsu5rZzI/edit?usp=sharing
Jiri Dobes, John Snow LabsAutomated Medical Data De-Identification and Obfuscationhttps://johnsnowlabs-my.sharepoint.com/:p:/p/jiri/EdbJq7F3wB9Lhgf6B8QH_V8BFqmuqqGVNN3NJq5XgvX9Dg?e=20s6j2
Abraham Gutman, AG Mednet, Inc.Advances in Medical Imaging De-Identification and the Impact of Regulatory Constraintshttps://www.dropbox.com/s/3wa8jbrzhj6pu2s/AG%20De-ID%20Panel.pptx?dl=0David ClunieClosing Remarks